<p>Enhancing data discovery via text mining and harmonization for fair data analysis in Galaxy</p>

Soyean Kim; Isuru Liyanage; Jenny Copara; Douglas Teodoro; Fiona  Brinkman; William Hsiao

doi:10.7490/f1000research.1119539.1

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Kim S, Liyanage I, Copara J et al. Enhancing data discovery via text mining and harmonization for fair data analysis in Galaxy [version 1; not peer reviewed]. F1000Research 2023, 12:892 (poster) (https://doi.org/10.7490/f1000research.1119539.1)

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Enhancing data discovery via text mining and harmonization for fair data analysis in Galaxy

Soyean Kim¹, Isuru Liyanage, Jenny Copara, Douglas Teodoro, Fiona Brinkman, William Hsiao

Published 27 Jul 2023 (https://doi.org/10.7490/f1000research.1119539.1)

Author Affiliations

¹ Faculty of Health sciences, Simon Fraser University, Burnaby, British Columbia, Canada

Copyright © 2023 Kim S et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 27 Jul 2023

Enhancing data discovery via text mining and harmonization for fair data analysis in Galaxy
[version 1; not peer reviewed]

Soyean Kim¹, Isuru Liyanage, Jenny Copara, Douglas Teodoro, Fiona Brinkman, William Hsiao

Author Affiliations

¹ Faculty of Health sciences, Simon Fraser University, Burnaby, British Columbia, Canada

Presented at

Galaxy Community Conference (GCC), 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Text mining, data harmonization, genomic epidemiology, pathogen genomic, data sharing

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